Overview
I. Biomedical acoustics & ultrasound: Diagnostics
Ultrasound elastography
Shear wave elastography: Elasticity imaging method based on bulk shear wave and ultrafast ultrasound imaging for medical diagnosis. It has wide application in disease detection and tissue elastic property evaluation.
Surface acoustic wave elastography: Elasticity imaging method based on acoustic surface wave and ultrafast ultrasound imaging for imaging superficial tissues at a tissue boundary. It has great potential in screening diseases such as skin cancer in a safe and reliable manner.
Guided acoustic wave elastography: Elasticity imaging method based on acoustic guided wave and ultrafast ultrasound imaging for imaging layered tissues at a tissue boundary. The targeted applications include imaging and evaluating the elasticity of plate-like tissues such as the diaphragm, heart muscle, and deep layers of skin, as well as some flat muscles.
Conventional ultrasound
Quantitative ultrasound: Quantitative ultrasound imaging is used to detect biological changes generated in medical conditions. Example studies include detecting image feature change in skin induced by lesion and in bone marrow induced by physical impact.
Multiple-modality and multiple-parameter ultrasound: Acquiring images using different ultrasound imaging modalities or paramters of the same object, and analyzing them assisted with AI techniques, to enhance diagnosis performance.
Acoustics signal processing
Human bioacoustics: Detecting and analyzing sound emitted by the human body for health monitoring purposes.
Sound visualization: Converting sound into shapes for visualization and representation purposes.
II. Biomedical acoustics & ultrasound: Therapeutics
Focused ultrasound-induced cancer immunotherapy: Apply focused ultrasound-based cancer treatment methods to enhance the effectiveness of conventional cancer immunotherapy.
Transcranial focused ultrasound neuromodulation for neuro disorders: Utilize focused ultrasound to reshape neuro networks that are responsible for different disorders to treat the disorders that cause these diseases.
Low-intensity ultrasound for selective cancer ablation: Understand the physical mechanism of ultrasound-induced selective damage of cancer cells and develop a side effects-free biomechanical strategy for cancer treatment.
III. Biomedical acoustics & ultrasound: Instrumentation
Machine-learning-assisted design optimization for a single-element therapeutic transducer: Use of machine-learning methods to determine the best design for a defined function.
Design optimization of 3D therapeutic ultrasound array transducers

This research employs optimization methods, including different types of machine learning techniques, in the design of therapeutic ultrasound transducers aiming at improving their performance not only to facilitate the conventional application, such as cancer treatment, of focused ultrasound, but also expand its application to delicate cases such as neuromodulation and neurosurgery.
IV. Industrial acoustics & ultrasound
Acoustic patterning: Acoustic field engineering for small particle manipulation in different applications.
Acoustic resonance spectrometry: Acoustic nondestructive method for estimating elastic properties of solid materials and structures.
Ultrasound nondestructive charaterizaton of batteries: Ultrasound method for battery defect detection, state of charge characterization, and state of health characterization.
Noise reduction using acoustic metamaterials: Engineering of acoustic metamaterial based structures for noise reduction.
Ultrasound-assisted microplastic removal: Ultrasound methods for removing microplastics from polluted water.
Biomedical Acoustics Research Lab
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Address
Texas Tech University, Box 41021 | Lubbock, TX 79409 -
Phone
806.742.3563 -
Email
mechanical.engineering@ttu.edu
